five

Replication Data for: USTC-PRM: a Parameterized Approach for Profile Retrieval of Aerosol and Trace Gases

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://doi.org/10.7910/DVN/OQIGCE
下载链接
链接失效反馈
官方服务:
资源简介:
Scripts and data for "USTC-PRM: a Parameterized Approach for Profile Retrieval of Aerosol and Trace Gases". NPY format data can be read using Python's numpy library. H5 format data can be read using Python's h5Py library. Dat format file is a text file. 545110-9999-2019 and 545110-9999-2020 are meteorological data from ftp://ftp.ncdc.noaa.gov/pub/data/noaa/isd-lite/ The "source_code" provide a demo of the profile inversion algorithm, and the password is used to avoid arbitrary distribution. The code (Figure *. py) contains the following file reading and processing methods: Synthetic profile retrieval is the relevant result of synthesizing data, as detailed in section 3.1 in the manuscript. The data in the case folder is from the period of heavy pollution cases, please refer to section 3.2 in the manuscript for details. The long term data is the result of long-term observations, as detailed in Section 3.2 in the manuscript.
创建时间:
2024-09-28
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作